Job Requirements
Job benefits
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Remote work options
Thanks to technology, we no longer have to be physically present at the office to be productive. Joining our company allows you to work anywhere without place-constraint.
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Medical insurance
To ensure your health and wellbeing, you have various medical plans to choose from depending on your situation and unique needs. From partial up to full medical coverage, we got you covered.
Skills
Job description for Business Intelligence Analyst (Data Analyst) at Glints
- Key role and contributor: You will have the chance to be part of the core analytic team, involved in strategic analysis and team planning
- Exposure: You will have the chance to work closely and communicate with teams across the company from C-levels and Management, Sales, Finance, Product, Marketing, and Operation
- Growth: We are a fast-growing company that grew revenue six times in the past year while doubling headcount. You will be part of this growth trajectory and given lots of challenges to grow quickly
- Impact: Our company's purpose is to contribute to a world where all people and organizations can realize their human potential (check our culture deck here: http://bit.ly/glintsculture)
- Business Analysis - Perform all-round business analysis to current performance to seek facts, insights, and give recommendations
- Data Consultant - Support and enforce a data-driven mindset and insight to Glints TalentHub and Glints Academy businesses
- Reports and Dashboards - Support business decisions by providing data with good visualization and powerful report
- Sales and Ops Process Improvement - Analyse and understand the current sales and ops data collection and reporting process or system and suggest or recommend a proposed solution based on data or insight
- Minimum Bachelor Degree in Statistics, Mathematics, Computer Science, Marketing analytics, Business analytics or in a related field
- At least 1-3 years of experience in a fast-paced business/data analytics role or related
- Good understanding and implementation of statistics and/or machine learning especially in predictive/analytics modeling techniques, theories, principles, and practices
- Experienced using BI tools (e.g. Metabase and Tableau)
- Proficient in SQL and Python/R
- Have a highly analytical and structured approach in problem-solving
- Strong logical, problem-solving, and critical thinking
- Excellent communication, goal-oriented and good ability to work in a team, creative thinking, and collaborative
- Proficient in English communications both verbal and written (business level)
- Student for life mindset
- Knowledge in machine learning
- Knowledge in programming languages
- Knowledge in data infrastructure and engineering
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